Scenario One
A parent wants to explore the types of exposure. The select a particular exposure (e.g., TV) might impact their child. They search for the exposure and are given an overview of the known outcome categories. Visualise info about the uncertainty for each effect. They filter the results for their child’s age. They click into an outcome category to get more information on the result (e.g., text summary, info about reason for the uncertainty).
Task One
Explore the exposures that there are evidence for.
Not really sure how to do this one. I guess one option is a bar chart of the exposures by the number of outcomes associated (and vice-versa).
Idea One
Notes
- I think it’s OK not to have scales and things on how ever this one is shown. The absolute values don’t really matter.
- I don’t really like this, very open to other ideas.
Task Two
Explore an overview of the outcome categories for the selected exposure category.
(E.g., if they have chosen ‘video games’)
Idea One
Using length as the main idiom.
Notes
- Points are showing effects, line ranges are showing confidence intervals (so showing some aspects of uncertainty).
- There’s still lots of information that this doesn’t show (such as sample size or number of studies which are part of uncertainty)
- There’s multiple points for some because there are sub-categories for ‘video games’ (e.g., violent video games, or educational), but it makes the plot a bit messy.
- There’s some issues with a few of the data points that I’ll resolve in the original dataset
Idea Two
Using position as the main idiom.
Notes
- Effect size indicated by horizontal position, but now missing uncertainty from the confidence intervals.
- Incorporates a different form of uncertainty (i.e., sample size) on the y-axis
- I guess it could incorporate other data through shape, but it looks a bit messy to message
Task Three
Visualise the uncertainty for the selected exposure.
(Not sure how to do this one)
Task Four
Filter the results by child’s age
Idea one
This is just the same as Task Two. E.g.,:
Task Five
Click into an otcome category to get additional information on the result.
(Can’t really do this is ggplot)
Scenario Two
A domain expert wants to explore evidence for screen time in more detail. Use the system to get an overview of the evidence (exposure, outcome, effect size). They search for the exposure and/or the outcome, and optionally filter by age. They click into a relationship and can access the forest plot of the original studies, and the link to the original meta-analysis (and other, related studies, uncertainty). Three levels: evidence, uncertainty, meta-data.
Task One
Explore the outcomes that there are evidence for.
Same as in Scenario One.
Task Two
Explore the evidence for the selected exposure.
This is the same as Scenario One. To look at a difference, let’s imagine that they are instead searching by outcome.
(E.g., they choose ‘body composition’)
Idea One
Task Three
Visualise the uncertainty for the selected exposure.
Same as Scenario One.
Task Four
Filter the results by child’s age
Same as Scenario One.
Task Five
Explore the underlying data and meta-data
I’ve realised that I’ll need to relink the original study-level data back to this to show original forest plots.
Otherwise, one option would be to display a relationship and show the forest plots in the tooltip?